Harold Soh: h-index, Total Citations, and Citation Map
Harold Soh's h-index is 38 (70 i10-index, 5,670+ total citations across 5+ publications) according to Google Scholar as of May 2026. Harold Soh is affiliated with Associate Professor at National University of Singapore.
Harold Soh is a researcher affiliated with Associate Professor at National University of Singapore, specializing in Human Robot Interaction, Machine Learning, Tactile Perception. Their work has been cited 5,670 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Harold Soh's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 38
- i10-Index
- 70
- Total Citations
- 5,670
- Citing Countries
- 18
As of May 2026.
Harold Soh has an h-index of 38 and 5,670 total citations across 5 publications, with research cited by institutions in 18 countries.
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We've mapped 5,000 of 5,670 citations for Harold Soh
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Top Cited Works
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Robots at work: People prefer—and forgive—service robots with perceived feelings.
2021390
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher advanced human-robot collaboration by developing planning frameworks that explicitly incorporate trust, establishing a foundational approach for safer and more effective shared autonomy.
The researcher developed trust-aware decision-making frameworks for human-robot collaboration, integrating model learning and planning to enhance interactive safety and efficiency.
The researcher established that service robots with perceived feelings are preferred and forgiven by humans, a finding published in a seminal 2021 Journal of Applied Psychology paper.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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